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id-2/Qwen3.8-27B-Uncensored-FP8

id-2 Qwen 25B multimodal second-order
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Response includes
  • classification m-uncensored
  • files 19
  • hub_downloads_all_time 12,594
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
13K
Likes
2
Model age
7w ago
created 2026-08-20
Downloads over time
Now15.6K→from239↑6,447%
05.7K11.5K17.2K239 on Aug 1915.6K on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text fp8 block-fp8 vllm nvidia conversational base_model:orcarouter/Qwen3.8-27B-Uncensored-FP8 base_model:quantized:orcarouter/Qwen3.8-27B-Uncensored-FP8 license:apache-2.0

Related

Total size
28.7 GB
Files
19
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-20 06:46

Files by quantization

Auxiliary files 19 files 28.8 GB
model-00004-of-00007.safetensors 4.63 GB 37338dc3 download
model-00005-of-00007.safetensors 4.62 GB fc6fb0dd download
model-00003-of-00007.safetensors 4.60 GB 7cbf8db4 download
model-00002-of-00007.safetensors 4.60 GB e863e88f download
model-00006-of-00007.safetensors 3.79 GB 5fdcbaf8 download
model-00001-of-00007.safetensors 3.70 GB 141e200c download
model-00007-of-00007.safetensors 2.81 GB 1bed352a download
tokenizer.json 12.2 MB 0997f410 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 152 KB 66d303a2 download
config.json 50.1 KB e66d0dcb download
tokenizer_config.json 17.5 KB 5de744b3 download
chat_template.jinja 8.74 KB c0c686f9 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.01 KB 1c83ed6d download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 202 B 023756cf download

README current version from Hugging Face


license: apache-2.0
base_model: orcarouter/Qwen3.8-27B-Uncensored-FP8
pipeline_tag: image-text-to-text
tags:

  • transformers
  • safetensors
  • qwen3_5
  • fp8
  • block-fp8
  • vllm
  • nvidia

Qwen3.8-27B-Uncensored-FP8 (NVIDIA / FP8)

Unofficial mirror of orcarouter/Qwen3.8-27B-Uncensored-FP8 in the original FP8 safetensors format, intended for NVIDIA GPUs (vLLM / transformers with FP8 support).

Format

  • transformers checkpoint, qwen3_5 architecture (Qwen3_5ForConditionalGeneration)
  • 7 safetensors shards, FP8 (block-FP8) quantized weights
  • Multimodal (image-text-to-text)

Usage (NVIDIA / vLLM)

# vLLM (FP8 native)
vllm serve id-2/Qwen3.8-27B-Uncensored-FP8 --quantization fp8

# transformers
from transformers import AutoModelForCausalLM, AutoProcessor
model = AutoModelForCausalLM.from_pretrained("id-2/Qwen3.8-27B-Uncensored-FP8")

Note: MLX format (Apple Silicon) is NOT provided here — this is the NVIDIA/FP8 build.

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-08-20Upload README.md with huggingface_hub72e3e3d1 KB
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